Instructions to use SetFit/deberta-v3-large__sst2__train-16-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SetFit/deberta-v3-large__sst2__train-16-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SetFit/deberta-v3-large__sst2__train-16-6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-6") model = AutoModelForSequenceClassification.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59c0e3998aa801f56557cb44b901d73bd79cfd2441a059ea150c3fdcaee76b76
- Size of remote file:
- 3.06 kB
- SHA256:
- 439e72cc09055a70dc36ebadac3c51518f5a5ef6c78cdf744058d1b768258eb2
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